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For Companies At a Glance
- Tasks: Design and maintain data pipelines using Kafka, Spark, and cloud technologies.
- Company: Join Fresha, a leading tech company in London with a vibrant team.
- Benefits: Competitive salary, flexible working hours, and remote work options.
- Why this job: Make an impact in data engineering while enjoying a dynamic work environment.
- Qualifications: Bachelor's degree in Computer Science and 5+ years of relevant experience.
The predicted salary is between 50000 - 110000 £ per year.
Fresha is looking for a Senior Data Engineer to join our team in London. The role involves designing, developing, and maintaining data pipelines, as well as working with cloud-based infrastructure.
Candidates should have a Bachelor's degree in Computer Science and over 5 years of experience with Kafka, Spark, and Flink.
The position offers a competitive salary ranging from £50,000 to £110,000, along with a flexible working environment, including remote work opportunities.
Senior Data Engineer: Kafka, Spark & Cloud Pipelines employer: Fresha
Contact Detail:
Fresha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Kafka, Spark & Cloud Pipelines
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Fresha on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Kafka, Spark, and cloud pipelines. We love seeing practical examples of what you can do!
✨Tip Number 3
Ace the interview by practising common data engineering questions. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who fit our culture.
We think you need these skills to ace Senior Data Engineer: Kafka, Spark & Cloud Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kafka, Spark, and cloud pipelines. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how your background makes you the perfect fit for our team at Fresha.
Showcase Your Problem-Solving Skills: In your application, give examples of challenges you've faced in previous roles and how you tackled them. We love seeing how you approach problems, especially in data engineering!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Fresha
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Kafka, Spark, and Flink. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical problems during the interview. Practice explaining your thought process clearly and logically, as this will demonstrate your analytical skills and ability to work under pressure.
✨Understand the Company Culture
Familiarise yourself with Fresha's values and work environment. Highlight how your experience aligns with their flexible working model and how you can contribute positively to their team dynamics.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the role and the team. This shows your genuine interest in the position and helps you assess if it's the right fit for you too.